RastriginDisc

介绍matlab的使用，非常适合初学者，不要错过。(Describes the use of matlab is very suitable for beginners, do not miss.)

本文基于BP神经网络应用于预测的原理，提出预测步骤及预测可行性，探讨建立基于BP神经网络的预测模型的关键技术，包括样本的选取与预处理、输入输出变量的选取、隐层节点数的确定、初始权值和阈值的选取、激活函数、训练算法与参数的选取，最后建立合理的网络模型；结合住宅市场的实际情况，建立两类BP 神经网络预测模型：基于时间序列的趋势预测模型以及基于影响因素的回归预测模型，即分别采用神经网络趋势预测和回归预测的思路，把住宅市场的供给、需求与房价的历年数据以及其影响因素的数据分别作为学习样本，建立预测模型，进行预测。(Real estate development risk prediction )

Sample windows phone apps

skin segmentation base on RGB color space. does not work for gray level images

Introduction to channel estimation by using LS and MMSE.

OPNET仿真书籍，介绍了OPNET软件的使用和示例。(OPNET guidance)

讨论匹配滤波器对不同形式的PAM信号进行接收的情况。并研究在高斯白噪声环境中传输的改善程度(Discussion of the matched filter for different forms of PAM signal reception conditions. And to study the white Gaussian noise environment in the improvement of transmission)

Dijkstra算法,关于 Dijkstra算法解决voronoi图的问题,用 Dijkstra算法解决voronoi图中求解最短路径的时候,有一个"dijkstra.m"的文件(Dijkstra algorithm voronoi diagram on Dijkstra algorithm to solve the problem, using Dijkstra algorithm to solve voronoi diagram for solving the shortest path, there is a " dijkstra.m" file)

OpenSCA - An open source toolbox for Matlab side channel cryptanalysis (OpenSCA- An open source toolbox for Matlab side channel cryptanalysis )

隐马尔科夫过程预测编码，对于使用或研究隐马尔科夫模型的人会有帮助。(Hidden Markov process predictive coding, for the use of hidden Markov models or research who will help.)